Quantifying the association between pregnancy exposure to biomass-attributable PM2.5 and the risk of preterm birth and stillbirth: A case-control study in Sydney, Australia for 2010–2020

Biomass combustion, including wildfires and residential wood burning, is a significant source of particulate matter (PM<sub>2.5</sub>) in Australia, with potentially distinct health effects due to its unique chemical composition. This study aimed to quantify the association between exposure to ambient biomass-attributable PM<sub>2.5</sub> and the risk of preterm birth and stillbirth across pregnancy windows in Sydney, Australia, from 2010 to 2020. We conducted case-control studies nested within a cohort of 578,391 singleton pregnancies, including 29,954 preterm births and 2,928 stillbirths. Controls were randomly selected using risk-set sampling. Daily all-source PM<sub>2.5</sub> estimates at a 5 km resolution were obtained from a previous study. Days exceeding the 95th percentile of all-source PM<sub>2.5</sub> at statistical area level 4 without significant dust storm pollution were classified as biomass-affected days. For these days, biomass-attributable PM<sub>2.5</sub> was estimated using the remainder component from a seasonal trend decomposition, with the seasonal and trend components representing nonbiomass-attributable PM<sub>2.5</sub>. Conditional logistic regressions were used to analyze associations between biomass-attributable PM<sub>2.5</sub> exposure and outcomes, adjusting for area-level socioeconomic factors, temperature, humidity, and temporal and seasonal trends. The odds ratio for preterm birth per interquartile range increase in biomass-attributable PM<sub>2.5</sub> was 1.002 (95% CI = 0.997, 1.007) for the entire pregnancy average exposure, with similar null results across trimesters. For stillbirth, the odds ratio was 1.002 (95% CI = 0.985, 1.019) for the entire pregnancy average exposure, with comparable null findings across trimesters. These results suggest that in Sydney, biomass-attributable PM<sub>2.5</sub> exposure during pregnancy may not increase the risk of preterm births or stillbirths.

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Publication Details

Journal
Environmental Epidemiology
Published
2025-03-26
DOI
https://doi.org/10.1097/ee9.0000000000000381
Citations
2
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
2.40
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article

Quantifying the association between pregnancy exposure to biomass-attributable PM2.5 and the risk of preterm birth and stillbirth: A case-control study in Sydney, Australia for 2010–2020

Katrin Juliane Meissner, Edward Jegasothy, Joe Van Buskirk, Tanya Singh et al.
2 citations
Environmental Epidemiology
Air Quality and Health Impacts
2.40
article

Quantifying the association between pregnancy exposure to biomass-attributable PM2.5 and the risk of preterm birth and stillbirth: A case-control study in Sydney, Australia for 2010–2020

Katrin Juliane Meissner, Edward Jegasothy, Joe Van Buskirk, Tanya Singh, Donna Green, Geoffrey Morgan
article en
2 citations

Abstract

Biomass combustion, including wildfires and residential wood burning, is a significant source of particulate matter (PM<sub>2.5</sub>) in Australia, with potentially distinct health effects due to its unique chemical composition. This study aimed to quantify the association between exposure to ambient biomass-attributable PM<sub>2.5</sub> and the risk of preterm birth and stillbirth across pregnancy windows in Sydney, Australia, from 2010 to 2020. We conducted case-control studies nested within a cohort of 578,391 singleton pregnancies, including 29,954 preterm births and 2,928 stillbirths. Controls were randomly selected using risk-set sampling. Daily all-source PM<sub>2.5</sub> estimates at a 5 km resolution were obtained from a previous study. Days exceeding the 95th percentile of all-source PM<sub>2.5</sub> at statistical area level 4 without significant dust storm pollution were classified as biomass-affected days. For these days, biomass-attributable PM<sub>2.5</sub> was estimated using the remainder component from a seasonal trend decomposition, with the seasonal and trend components representing nonbiomass-attributable PM<sub>2.5</sub>. Conditional logistic regressions were used to analyze associations between biomass-attributable PM<sub>2.5</sub> exposure and outcomes, adjusting for area-level socioeconomic factors, temperature, humidity, and temporal and seasonal trends. The odds ratio for preterm birth per interquartile range increase in biomass-attributable PM<sub>2.5</sub> was 1.002 (95% CI = 0.997, 1.007) for the entire pregnancy average exposure, with similar null results across trimesters. For stillbirth, the odds ratio was 1.002 (95% CI = 0.985, 1.019) for the entire pregnancy average exposure, with comparable null findings across trimesters. These results suggest that in Sydney, biomass-attributable PM<sub>2.5</sub> exposure during pregnancy may not increase the risk of preterm births or stillbirths.

Environmental EpidemiologyVol. 9(2)
The University of Sydney (AU), UNSW Sydney (AU), ARC Centre of Excellence for Climate System Science (AU)
Openalex Percentile: Top 14%
Air Quality and Health Impacts
2.40
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